In this paper we describe a framework for model-based diagnosis of dynamic systems, which extends previous work in this field by using and expressing temporal uncertainty in the form of qualitative interval relations a la Allen. Based on a logical framework extended by qualitative and quantitative temporal constraints we show how to describe behavioral models (both consistency- and abductive-based), discuss how to use abstract observations and show how abstract temporal diagnoses are computed. This yields an expressive framework, which allows the representation of complex temporal behavior allowing us to represent temporal uncertainty. Due to its abstraction capabilities computation is made independent of the number of observations and time points in a temporal setting. An example of hepatitis diagnosis is used throughout the paper.
Beyond Uncertainty Reduction: Calibrated Planning for Interactive Diagnosis
Lanzhou University（兰州大学）；Hunan University（湖南大学）；National University of Singapore（新加坡国立大学）；City University of Hong Kong（香港城市大学）；The Ohio State University（俄亥俄州立大学）
Unified Uncertainty Estimation for Cognitive Diagnosis Models
School of Computer Science and Technology, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院）；State Key Laboratory of Cognitive Intelligence（认知智能国家重点实验室）；Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China（中国科学技术大学安徽省大数据分析与应用重点实验室）；The University of Tennessee（田纳西大学）；iFLYTEK Research（讯飞研究院）；iFLYTEK AI Research (Central China)（讯飞人工智能研究（华中））
Uncertainty-Aware Longitudinal Forecasting of Alzheimer's Disease Progression Using Deep Learning
Department of Computer Science and Engineering, R.V. College of Engineering（计算机科学与工程系，R.V.工程学院）；School of Computer Science, University of Nottingham（计算机科学学院，诺丁汉大学）
RetiBridge: Bridging Quantitative Retinal Biomarkers and Qualitative Diagnosis with a Knowledge-Guided Multimodal Large Language Model
University of Liverpool（利物浦大学）；Institute of Life Course & Medical Sciences（生命课程与医学科学研究院）；Department of Eye and Vision Sciences（眼科与视觉科学系）；Computer Science Department（计算机科学系）；Cardiovascular & Metabolic Medicine（心血管与代谢医学）；Liverpool Centre for Cardiovascular Science（利物浦心血管科学中心）
Towards Trustworthy AI for Glioma Diagnosis: A Task-Aware Evaluation of Uncertainty Quantification
Erasmus MC, University Medical Center Rotterdam（鹿特丹大学医学中心伊拉斯谟MC）；Amsterdam UMC, University of Amsterdam（阿姆斯特丹大学医学中心阿姆斯特丹UMC）；GE HealthCare（GE医疗）；Erasmus MC Cancer Institute（伊拉斯谟MC癌症研究所）；Medical Delta（医疗三角洲）
ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning
College of Computer Science, Chongqing University（重庆大学计算机科学学院）；College of Computer Science, Hunan University（湖南大学计算机科学学院）；AI Labs, Unisound（云知声AI实验室）；Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；Psycharity, Chongqing Medical University（重庆医科大学精神医学中心）；School of Computer Science and Engineering, University of New South Wales（新南威尔士大学计算机科学与工程学院）；Institute of Advanced Intelligence and Computing (IAIC), Agency for Science, Technology and Research (A*STAR), Singapore（新加坡科技研究局先进智能与计算研究所）；Technological Information, Chongqing Center for Disease Control and Prevention（重庆市疾病预防控制中心科技信息处）
Toward an Integrated Decision Making Framework for Optimized Stroke Diagnosis with DSA and Treatment under Uncertainty
Institut Teknologi Sepuluh Nopember (ITS)（十十一月科技学院（ITS））；Universitas Islam Negeri (UIN) Syarif Hidayatullah（赛义德·希达亚图拉伊斯兰国立大学）；Stanford University（斯坦福大学）
Uncertainty-aware Diffusion and Reinforcement Learning for Joint Plane Localization and Anomaly Diagnosis in 3D Ultrasound
Medical Ultrasound Image Computing (MUSIC) Lab, School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China Centre for CIMIM, Manchester University, Manchester, UK School of Artificial Intelligence, Shenzhen University, Shenzhen, China National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China School of Biomedical Engineering；Informatics, Nanjing Medical University, Nanjing, China
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Northeastern University（东北大学）；Massachusetts Institute of Technology（麻省理工学院）；The Ohio State University（俄亥俄州立大学）；Rensselaer Polytechnic Institute（伦斯勒理工学院）；The Ohio State University Wexner Medical Center（俄亥俄州立大学韦克斯纳医学中心）
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Birmingham City University（伯明翰城市大学）；Assiut University（艾斯尤特大学）；Galala University（加拉拉大学）；Deakin University（迪肯大学）；Ngee Ann Polytechnic（义安理工学院）；SUSS University（新加坡社会科学大学）；Asia University（亚洲大学）
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
The Hong Kong Polytechnic University（香港理工大学）；Vanderbilt University Medical Center（范德堡大学医学中心）；Hong Kong Baptist University（香港浸会大学）；Vanderbilt University（范德堡大学）
A Quad-Step Approach to Uncertainty-Aware Deep Learning for Skin Cancer Classification
Deakin University, Australia（德克萨斯大学）；School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia（数学、物理与计算学院，南方昆士兰大学，托沃布马）
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
Department of Electrical and Computer Engineering, University of Victoria（电气与计算机工程系，维多利亚大学）；Department of Mechanical Engineering, University of Victoria（机械工程系，维多利亚大学）
